Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
A dated price table from the vendors' own pages, plus a blended cost for one million tokens and a script to recompute it with your own input to output mix.
Free plans from Claude, ChatGPT, Gemini, GitHub Copilot and others, read from the vendors' own pages: what is included for coding, what is capped, and how your data is treated.
What Anthropic, AWS, Google and Mistral publish about student offers and startup credits, with eligibility and status as read on 18 October 2026, and what could not be confirmed.
A question list for AI vendors on training, retention, human review, residency and exit, with what Anthropic, OpenAI and Google publish today as a baseline for the answers.
The best AI security tool depends on the layer: pre-release testing, runtime guardrails, model file scanning or inventory. Here is how to pick for each.
Compare garak, PyRIT, Promptfoo and DeepTeam for LLM red teaming: license, attack coverage, CI fit and when each suits a team, from their own docs.
Secure a RAG application by enforcing permissions at retrieval, validating documents before ingestion, isolating tenants and logging every retrieval.
Threat model an AI agent in six steps: map data flows, list tools and permissions, mark untrusted inputs, enumerate threats, add controls, and retest.
An AI bill of materials (AIBOM) lists the models, datasets and dependencies in an AI system. Learn what it holds, the main formats and how to start.
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